A comparison of tracking algorithm performance for objects in wide area imagery

Rohit C. Philip, Sundaresh Ram, Xin Gao, Jeffrey J. Rodríguez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Object tracking is currently one of the most active research areas in computer vision. In this paper we compare and analyze the performance of six recent object tracking algorithms on a raw, low resolution, unregistered, interlaced aerial video of multiple cars moving on a roadway. This dataset comprising 50 frames of video offers a wide variety of challenges related to imaging issues such as low resolution, unregistered frames, camera motion, and interlaced video, as well as object detection problems such as low contrast, background clutter, object occlusion and varying degrees of motion. We present the performance of these algorithms in terms of both overlap accuracy and the Euclidean distance of the center pixel returned by the tracking algorithm from the ground truth.

Original languageEnglish (US)
Title of host publication2014 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages109-112
Number of pages4
ISBN (Print)9781479940530
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2014 - San Diego, CA, United States
Duration: Apr 6 2014Apr 8 2014

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Other

Other2014 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2014
CountryUnited States
CitySan Diego, CA
Period4/6/144/8/14

Keywords

  • Object tracking
  • localization error
  • overlap area
  • partial occlusion
  • wide area imagery

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Fingerprint Dive into the research topics of 'A comparison of tracking algorithm performance for objects in wide area imagery'. Together they form a unique fingerprint.

  • Cite this

    Philip, R. C., Ram, S., Gao, X., & Rodríguez, J. J. (2014). A comparison of tracking algorithm performance for objects in wide area imagery. In 2014 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2014 - Proceedings (pp. 109-112). [6806041] (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSIAI.2014.6806041